Epigenomics Single-Cell Analysis in Python.
Project description
|Docs| |PyPI| |bioconda|
.. |Docs| image:: https://readthedocs.com/projects/icb-scanpy/badge/?version=latest
:target: https://episcanpy.readthedocs.io/en/latest/
.. |PyPI| image:: https://img.shields.io/pypi/v/episcanpy.svg
:target: https://pypi.org/project/episcanpy
.. |bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square
:target: http://bioconda.github.io/recipes/episcanpy/README.html
Episcanpy – Epigenomics single cell analysis in python
============================================
**Episcanpy** is a toolkit to analyse single cell open chromatin (ATACseq) and methylation (BSseq) data.
The documentation of epiScanpy is available at <https://episcanpy.readthedocs.io/en/latest/>
If epiScanpy is useful to your research, consider citing epiScanpy (`Biorxiv_link_`)
epiScanpy is based on scanpy (Genome_Biology_, 2018) a python package to analyse single cell transcriptomic data (RNAseq). For more information, read scanpy documentation_.
We are currently working on releasing a stable version as well as pip and conda install procedure. It shall be available very soon.
.. _Biorxiv_link: https://
.. _Genome_Biology: https://doi.org/10.1186/s13059-017-1382-0
.. _documentation: https://scanpy.readthedocs.io
.. |Docs| image:: https://readthedocs.com/projects/icb-scanpy/badge/?version=latest
:target: https://episcanpy.readthedocs.io/en/latest/
.. |PyPI| image:: https://img.shields.io/pypi/v/episcanpy.svg
:target: https://pypi.org/project/episcanpy
.. |bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square
:target: http://bioconda.github.io/recipes/episcanpy/README.html
Episcanpy – Epigenomics single cell analysis in python
============================================
**Episcanpy** is a toolkit to analyse single cell open chromatin (ATACseq) and methylation (BSseq) data.
The documentation of epiScanpy is available at <https://episcanpy.readthedocs.io/en/latest/>
If epiScanpy is useful to your research, consider citing epiScanpy (`Biorxiv_link_`)
epiScanpy is based on scanpy (Genome_Biology_, 2018) a python package to analyse single cell transcriptomic data (RNAseq). For more information, read scanpy documentation_.
We are currently working on releasing a stable version as well as pip and conda install procedure. It shall be available very soon.
.. _Biorxiv_link: https://
.. _Genome_Biology: https://doi.org/10.1186/s13059-017-1382-0
.. _documentation: https://scanpy.readthedocs.io
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
episcanpy-0.1.0.tar.gz
(51.0 kB
view hashes)